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Sharable Appropriateness Criteria in GLIF3 Using Standards and the Knowledge-Data Ontology Mapper

  • Mor Peleg
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5943)

Abstract

Creating computer-interpretable guidelines (CIGs) requires much effort. This effort would be leveraged by sharing CIGs with more than one implementing institution. Sharing necessitates mapping the CIG’s data items to institutional EMRs. Sharing can be enhanced by using standard formats and a Global-as-view approach to data integration, where a common data model is used to generate standard views of proprietary EMRs. In this paper we demonstrate how generic guideline expressions could be encoded in the GELLO standard using HL7-RIM-based views. We also explain how the Knowledge-Data Ontology Mapper (KDOM) can be used to simplify GELLO expressions. We are aiming to use this approach for computerizing radiology appropriateness criteria and linking them with EMR data from Stanford Hospital. We discuss our initial study to assess whether such computerization would be possible and beneficial.

Keywords

appropriateness criteria clinical guidelines GLIF GEL GELLO EMR ontology knowledge sharing KDOM 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Mor Peleg
    • 1
  1. 1.Department of Management Information SystemsUniversity of HaifaIsrael

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